Results 131 to 140 of about 96,015 (310)

Multimodal-fusion-severe-hypo-data

Datasets (raw and preprocessed) for reproducibility results of the paper "Interpretable and multimodal fusion methods to identify severe hypoglycemia in adults with T1D".This study aims to identify severe hypoglycemia (SH) in Type 1 diabetes patients ...
Francisco J. Lara-Abelenda (17896818), David Chushig-Muzo (13720484), David Chushig-Muzo (17896193), Cristina Soguero-Ruiz (13720487)   +3 more
core   +1 more source

How do presenters engage with their audience? Speakers’ multimodal interpersonal behaviour in research dissemination talks

, 2020
Speakers in research dissemination talks are challenged with the need to connect with an audience that does not necessarily share their knowledge and expertise.
Valeiras-Jurado, JuliaUGent00013137154480200166651797742900326069F51DE8-2AE5-11E3-A4E0-796A10BDE39D, Morell, Teresa   +1 more
core  

Red socks and purple rain: the political uses of colour in late apartheid South Africa

, 2011
This is a post-print of the published version of a SAGE Journal article available on: http://dx.doi.org/10.1177/1470357211398437.This article explores the extent to which colour functions as an independent mode in a particular context and explores the ...
Stacey Stent, Stent, Stacey, Arlene Archer, Archer, Arlene   +3 more
core   +1 more source

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

Advanced Science, EarlyView.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang, Jingze Su, Xiahui Han, Deyong Kang, Xiao Zhang, Fei Xu, Changzu Liu, Junlin Pan, Xingfu Wang, Qiaohui Zhan, Aimin Wang, Feng Huang, Heping Cheng, Wenxi Liu, Ruolan Lin, Jianxin Chen   +15 more
wiley   +1 more source

JDA-attack: leveraging joint multimodal data augmentation to enhance adversarial transferability of vision-language pre-training models

Complex & Intelligent Systems
Visual-Language Pre-training (VLP) Models demonstrate exceptional capability in understanding the interactions between images and text, yet they remain vulnerable to multimodal adversarial examples.
Xujie Ren, Caikun Zhang, Guoqiang Han, Bin Chen, Zepeng Fan   +4 more
doaj   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Why So Meme? A Comparative and Explainable Analysis of Multimodal Hateful Meme Detection

Machine Learning and Knowledge Extraction
The rise of toxic content, particularly in the form of hateful memes, poses a significant challenge to social media platforms. This paper presents an empirical comparative study of unimodal and multimodal architectures for toxic content detection. Rather
Nor Saiful Azam Bin Nor Azmi, Michal Ptaszynski, Fumito Masui, Abu Nowhash Chowdhury   +3 more
doaj   +1 more source

Modelling Discourse-related terminology in OntoLingAnnot’s ontologies

, 2010
Recently, computational linguists have shown great interest in discourse annotation in an attempt to capture the internal relations in texts. With this aim, we have formalized the linguistic knowledge associated to discourse into different linguistic ...
Aguado de Cea, G., Pareja-Lora, A.
core  

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

Advanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo, Jinhong Min, Geumbee Lee, Joohoon Kang, Hyoyoung Jeong, Jae‐Young Yoo, Sang Min Won   +9 more
wiley   +1 more source

A child-centred approach to multimodal text composition in the early years

, 2018
The purpose of this paper is to share the outcomes from a small research project that was funded through the Australian Literacy Educators’ Association’s (ALEA) research grant.
Barton, Georgina, Trimble-Roles, Rebecca
core